code: def test_setup(self):
      e = copy.deepcopy(EXPERIMENT)
      e = ExperimentConfig(e)
      trainer = e.experiment["trainer"]
      trainer.setup(training_metrics=trainer.training_metrics)
  
      self.assertEqual(
          len(
              trainer.trainer._event_handlers[
                  ignite.engine.Events.EPOCH_COMPLETED
              ]
          ),
          6,
      )
      self.assertEqual(
          len(
              trainer.trainer._event_handlers[
                  ignite.engine.Events.ITERATION_COMPLETED
              ]
          ),
          16,
      )
      self.assertEqual(
          len(
              trainer.trainer._event_handlers[
                  ignite.engine.Events.COMPLETED
              ]
          ),
          2,
      )
      self.assertEqual(
          len(
              trainer.trainer._event_handlers[
                  ignite.engine.Events.STARTED
              ]
          ),
          0,
      )
      self.assertEqual(
          len(
              trainer.trainer._event_handlers[
                  ignite.engine.Events.EPOCH_STARTED
              ]
          ),
          8,
      )
      self.assertEqual(
          len(
              trainer.trainer._event_handlers[
                  ignite.engine.Events.ITERATION_STARTED
              ]
          ),
          0,
      )
  
file_path: transfer-nlp/tests/plugins/test_trainer.py
imports: import copy
  import unittest
  from pathlib import Path
  import ignite
  import ignite.metrics
  import torch.nn
  import torch.optim
  from ignite.metrics import Precision, Recall, MetricsLambda
  from transfer_nlp.plugins.config import ExperimentConfig
  from transfer_nlp.plugins.regularizers import L1
  from .trainer_utils import *
label_desc: Use image node_id 2 for calling the RegistryTest obj's underlying member method code with example usage: obj.test_setup() without return types